glmfit: Plot posterior distribution of a given parameter

In lixiangchun/lxctk: Li Xiangchun's tool-kit (lxctk)

Description

Plot posterior distribution of a given parameter.

Usage

glmfit(..., clip = c(0, 8), user_specified_variables, plotting_for_sig_only = FALSE,
        main = NULL, main.xycoord = c(0.3, 1.05), use.stats.glm=FALSE)

Arguments

...	Parameters passed to stats::glm or arm::bayesglm.
clip	Clip used in rmeta::forestplot(...).
user_specified_variables	Variables to display on the forest plot.
plotting_for_sig_only	If TRUE, forest plot is generated if there is at least one significant coefficient.
main	The title of the forest plot.
main.xycoord	The coordinate of the title.
use.stats.glm	If TRUE, use stats::glm. arm::bayesglm is used by default.

See Also

stan_lm,stan_glm

Examples

## Not Run
gene <- "TP53"
f <- sprintf("
fit = glmfit(
	as.formula(f),
	data = regular,
	family = binomial,
	clip = c(0, 9),
	main = sprintf("

lixiangchun/lxctk documentation built on May 21, 2019, 6:44 a.m.